1.05M context window
Fit full codebases, long policies, or large research corpora in a single request.
GPT-5.4
Try itGPT-5.4
GPT-5.4: native Computer Use, Tool Search, and ultra-long context
Built for production agents and coding systems: process full repos or book-length documents in one request, tune reasoning effort from none to xhigh, and use the same LimaxAI chat workspace as other frontier models.
- 1.05M context
- 128K max output
- Native Computer Use
- Tool Search
- Adjustable reasoning
> tool_search("browser.navigate")
// Computer Use · screenshot + action
> context: 1.05M tokens · output budget: 128K
// reasoning: high · tools: 42 matched
Capabilities
Key capabilities
Highlights from public GPT-5.4 materials; exact toggles depend on what LimaxAI exposes in chat.
128K max output
Generate full reports, long implementations, or large structured outputs in one pass.
Native Computer Use
Operate UIs via screenshots and keyboard/mouse actions—strong on multi-step browser and desktop tasks (public OSWorld 75.0%).
Tool Search
Discover and invoke the right tool on demand instead of stuffing every tool definition into each prompt.
Adjustable reasoning
Pick reasoning effort from none through xhigh to balance latency, depth, and cost.
Higher token efficiency
Public materials report fewer tokens than GPT-5.2 on many hard tasks.
Comparison
How GPT-5.4 compares (qualitative)
A quick decision table for buyers; billing and availability follow LimaxAI pricing and the model list.
Claude Opus 4.6 and Gemini 3.1 Pro are common public benchmarks; limits change with each release.
| Dimension | GPT-5.4 | Claude Opus 4.6 | Gemini 3.1 Pro |
|---|---|---|---|
| Context window | 1.05M | 200K (1M beta) | 1M |
| Max output | 128K | 128K | 64K |
| Native Computer Use | Yes | No | No |
| Tool Search | Yes | No | No |
| Reasoning controls | none to xhigh | standard / extended | Limited public controls |
Use cases
What you can build
Typical workflows aligned with public GPT-5.4 positioning; visuals are illustrative.
Autonomous browser & desktop agents
Agents that click, type, browse, and finish multi-step UI flows—validate with native Computer Use before production.
Full-repo & long-document analysis
Architecture reviews, dependency audits, and research synthesis inside one wide context window.
Tool Search for enterprise stacks
Orchestrate many internal APIs, tools, or MCP connectors without bloating every prompt with tool schemas.
Benchmarks
Benchmarks: GPT-5.4 vs GPT-5.2
Public benchmark snapshots; not a guarantee of results on your workload.
| Benchmark | GPT-5.4 | GPT-5.2 |
|---|---|---|
| GDPval | 83.0% | 70.9% |
| SWE-Bench Pro | 57.7% | 55.6% |
| OSWorld (human 72.4%) | 75.0% | 47.3% |
| BrowseComp | 82.7% | 65.8% |
| Factual errors per claim | 33% fewer | Baseline |
Why LimaxAI
Why use it on LimaxAI
Same chat experience as other frontier models—no separate console per vendor.
One chat workspace
Switch between GPT-5.4, Claude, Gemini, and more from the model list.
Unified credits
Bill against LimaxAI points rules so teams can compare models on real tasks.
Streaming UX
Use the same streaming chat pipeline as other models for long replies and iteration.
Get started
Get started in three steps
From sign-in to production iteration.
Sign in to LimaxAI
Open Chat and pick GPT-5.4 (or the closest titled entry) from the model dropdown.
Send your first prompt
Describe the task; attach code, screenshots, or tool notes. Raise reasoning effort when the UI offers it.
Iterate and scale
Watch usage on the pricing page, then promote the workflow to teammates or agents.
FAQ
FAQ
How do I select GPT-5.4 in LimaxAI?
Open Chat and choose the GPT-5.4 entry from the model list. Names and visibility come from backend configuration and may change.
How is GPT-5.4 different from GPT-5.2?
Public materials cite ~2.6× context versus GPT-5.2, plus native Computer Use and Tool Search, and better token efficiency on many hard tasks.
What is native Computer Use?
The model can act on screenshots and UI events to browse sites and complete multi-step interactions without a separate computer-use stack.
What is Tool Search?
It selects tools from a larger catalog on demand instead of embedding every tool definition in each prompt—better agent quality, fewer wasted tokens.
Can I paste an entire repo every time?
1.05M is an upper bound; gateway limits, attachments, moderation, or rate limits may still apply. Split work when the UI warns you.
How are chat credits billed?
Follow LimaxAI points rules for the selected chat model; see the pricing page and your usage history.
Try GPT-5.4 in chat
Run a real task on GPT-5.4
Open Chat, pick GPT-5.4, and start with coding, long docs, or an agent draft.